HIV STATUS AND LABOR MARKET PARTICIPATION IN SOUTH AFRICAJames Levinsohn, Zoë M. McLaren, Olive Shisana, and Khangelani Zuma
REStat Volume 95, Issue 1, March 2013 

*Data: South African National HIV Prevalence, HIV Incidence, Behaviour and Communication Survey, 2005.  Commissioned by the Nelson Mandela Foundation.  Requests for access to the proprietary data used in this study may be addressed to the Human Sciences Research Council, 134 Pretorius Street, Pretoria, South Africa 0002.  Tel: +27 (0)12 302 2000

*Software: Stata Version 8 (for Mac OS)

*Syntax files:
hivlabormaster.do: Master file that runs all files for analysismerge04.do:  *Runs vp04.do which cleans household data 
vp04.do: Cleans household data 
indiv04.do: Runs files that clean individual data
aux_vars_ZAF.do: Cleans individual data
child_ZAF.do: Cleans individual data 
youngchild_ZAF.do: Cleans individual data
labor04.do: Creates new variables for analysis
table1.do: Creates Tables 1, 2 and 3
figure1.do: Creates Figure 1
hivlabor_5.do: Creates Table 4 and Table 6
regloop10.do: Performs main analysis
hivlabor_bootstrap3.do: Generates bootstrapped standard errors for main analysis
figure2.do: Creates Figure 2
table5.do: Creates Table 5
hivlabor_5a1.do: Creates Table 7  
regloop10a1.do: Performs analysis for Table 7
hivlabor_5a2.do: Creates Table 8  
regloop10a2.do: Performs analysis for Table 8

*Input data files: 
vpfwgt.dta: Household data
adultyouth2004.dta: Individual data ages 15 and up
child2004.dta: Individual data ages 12-14
paref32004.dta: Individual data under age 12
bed_stata2.dta: BED HIV-1 incidence assay data
viralload_stata2.dta: HIV viral load data

